Dashboard

data("nyc_airbnb")

airbnb = nyc_airbnb %>% 
  mutate(rating = review_scores_location / 2) %>% 
  select(neighbourhood_group, neighbourhood, rating, price, room_type, lat, long) %>% 
  filter(
    neighbourhood_group == "Manhattan",
    price %in% 100:500,
    room_type == "Entire home/apt"
  ) %>% 
  drop_na(rating)

Column

Chart A

airbnb %>% 
  mutate(text_label = str_c("Price: $", price, "\nRating: ", rating)) %>% 
  plot_ly(
    x = ~lat, y = ~long, color = ~price, text = ~text_label,
    alpha  = 0.5,
    type = "scatter", mode = "markers")

Column

Chart B

airbnb %>% 
  mutate(neighbourhood = fct_reorder(neighbourhood, price)) %>% 
  plot_ly(y = ~price, x = ~neighbourhood, color = ~neighbourhood, 
          type = "box", colors = "viridis")

Chart C

airbnb %>% 
  count(neighbourhood) %>% 
  mutate(neighbourhood = fct_reorder(neighbourhood, n)) %>% 
  plot_ly(x = ~neighbourhood, y = ~n, color = ~neighbourhood, type = "bar", colors = "viridis")

Avoid dashboard error: 1. rebuild website 2. use direct commandline rmarkdown::render(“dashboard.Rmd”, output_format = “flexdashboard::flex_dashboard”)